Learning Tensorflow: A Guide to Building Deep Learning Systems

De (autor): Tom Hope

Learning Tensorflow: A Guide to Building Deep Learning Systems

De (autor): Tom Hope

This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.

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Editie: Paperback

Nr. pagini: 240

Cod: BRT9781491978511

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Learning Tensorflow: A Guide to Building Deep Learning Systems

De (autor): Tom Hope

Learning Tensorflow: A Guide to Building Deep Learning Systems

De (autor): Tom Hope

Descrierea produsului

S-ar putea sa-ti placa si

Pro Deep Learning with Tensorflow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python - Santanu Pattanayak

Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning - Bharath Ramsundar

Advanced Deep Learning with TensorFlow 2 and Keras - Second Edition - Rowel Atienza

Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning - Manu Joseph

Machine Learning with TensorFlow - Nishant Shukla

Practical Deep Learning: A Python-Based Introduction - Ron Kneusel

Machine Learning Using TensorFlow Cookbook: Create powerful machine learning algorithms with TensorFlow - Alexia Audevart

Deep Learning for Vision Systems - Mohamed Elgendy

Deep Learning Projects Using Tensorflow 2: Neural Network Development with Python and Keras - Vinita Silaparasetty

Inside Deep Learning: Math, Algorithms, Models - Edward Raff

Robotics: What Beginners Need to Know about Robotic Process Automation, Mobile Robots, Artificial Intelligence, Machine Learning - Neil Wilkins

TensorFlow: Powerful Predictive Analytics with TensorFlow - Md Rezaul Karim

A Generative Journey to AI: Mastering the foundations and frontiers of generative deep learning (English Edition) - Toni Ramchandani

Deep Learning and the Game of Go - Max Pumperla

The Math of Neural Networks - Michael Taylor

Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning - James V. Stone

Building Computer Vision Applications Using Artificial Neural Networks: With Examples in Opencv and Tensorflow with Python - Shamshad Ansari

The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks - Daniel A. Roberts

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